Instructions to use amir22010/PyABSA_Hospital_Multilingual_allenai_tk-instruct-base-def-pos_FinedTuned_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amir22010/PyABSA_Hospital_Multilingual_allenai_tk-instruct-base-def-pos_FinedTuned_Model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amir22010/PyABSA_Hospital_Multilingual_allenai_tk-instruct-base-def-pos_FinedTuned_Model") model = AutoModelForSeq2SeqLM.from_pretrained("amir22010/PyABSA_Hospital_Multilingual_allenai_tk-instruct-base-def-pos_FinedTuned_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf513b1e1475d2e8fb88b7c94190169c9f505248d25b4d59f56a00737a43a05b
- Size of remote file:
- 990 MB
- SHA256:
- b2bdd72c391ca5da34a4da1ff957b01170282c4036cc84af3637d453e45584e6
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